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Hybrid Active Inference [article]

André Ofner, Sebastian Stober
2018 arXiv   pre-print
We describe a framework of hybrid cognition by formulating a hybrid cognitive agent that performs hierarchical active inference across a human and a machine part.  ...  This lends the agent the ability to self-supervise on increasingly high levels of cognitive processing in order to further minimize surprise in predicting the brain signal.  ...  Figure 1 : 1 Schematic illustration of the hierarchical structures within a hybrid active inference agent.  ... 
arXiv:1810.02647v1 fatcat:dczp6izvd5e3fnbmrrtc6wrhdm

Active Inferants: An Active Inference Framework for Ant Colony Behavior

Daniel Ari Friedman, Alec Tschantz, Maxwell J. D. Ramstead, Karl Friston, Axel Constant
2021 Frontiers in Behavioral Neuroscience  
The ant colony is a classic case system in the function of distributed systems in terms of stigmergic decision-making and information sharing.  ...  In this paper, we introduce an active inference model of ant colony foraging behavior, and implement the model in a series of in silico experiments.  ...  Second, we considered a multi-agent simulation rather than modeling the foraging activity of single agents.  ... 
doi:10.3389/fnbeh.2021.647732 pmid:34248515 pmcid:PMC8264549 fatcat:nvurzinpybc2hftnfah2atu4w4

Modelling uncertain inference

Colin Howson
2011 Synthese  
This has a number of important implications for how we think about the design and evaluation of collective cognitive systems.  ...  attention is focused at the individual or collective level of analysis.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.1007/s11229-011-9995-4 fatcat:ncr35p2n65hjbnoxlw6tygmhqm

Connectionist inference models

Antony Browne, Ron Sun
2001 Neural Networks  
The benefits and disadvantages of different representations and systems are outlined, and conclusions drawn regarding the capabilities of connectionist inference systems when compared with symbolic inference  ...  Existing connectionist inference systems are reviewed, with particular reference to how they perform variable binding and rule-based reasoning and whether they involve distributed or localist representations  ...  Ron Sun acknowledges the support from the ARI grant DASW01-00-K-0012 during the preparation of this article.  ... 
doi:10.1016/s0893-6080(01)00109-5 pmid:11771716 fatcat:alscetbpcbhfnah2qhvbylagui

Multi-Agent and Fuzzy Inference-Based Framework for Traffic Light Optimization

Abdelouafi Ikidid, El Fazziki Abdelaziz, Mohammed Sadgal
2021 International Journal of Interactive Multimedia and Artificial Intelligence  
It reduces the average travel delay and the time spent in the network compared to multi-agent-based adaptative signal control systems.  ...  Despite the fact that agent technologies have widely gained popularity in distributed systems, their potential for advanced management of vehicle traffic has not been sufficiently explored.  ...  Our proposed multi-agent control system is a model based on the two levels of coordination and collaboration, local at the intersection and within the surrounding neighbors.  ... 
doi:10.9781/ijimai.2021.12.002 fatcat:xpgkn6b55bcdbluesyc5o2vkky

Grounding inference in distributed multi-robot environments

Aaron Khoo, Ian Horswill
2003 Robotics and Autonomous Systems  
In this paper, we describe an inference grounding and coordination mechanism for small cooperative robot teams based on an extension of tagged behavior-based systems.  ...  Systems embedded in a dynamic environment face the problem of grounding the inference used in their reasoning system to actual physical objects.  ...  The pools drive the inference rule network, which in turn drives the low-level behaviors that actually control the robot. Figure 4 shows a high-level view of the system.  ... 
doi:10.1016/s0921-8890(02)00354-8 fatcat:fia3zhdezndvffjerdwpn3aq5q

Active Inference & Behavior Engineering for Teams

Alexander Vyatkin, Ivan Metelkin, Alexandra Mikhailova, RJ Cordes, Daniel Ari Friedman
2020 Zenodo  
We suggest that Systems Engineering provides guidelines to define the functions of Ontologies, Narratives, Formal documents, and Tools (ONFT) within the context of the life cycle of any System of Interest  ...  Following this ONFT assessment it is possible to break out to sub-systems levels and mechanistic analysis.  ...  The concept of Division of Labor describes how system subunits interact with each other and perform work [7, 8] in Complex Adaptive Systems regulated by agent-agent and agent-environment feedback systems  ... 
doi:10.5281/zenodo.4021163 fatcat:4mkjuviwkbaq7erwoqfct4xljm

Learning to Infer Belief Embedded Communication [article]

Guo Ye and Han Liu and Biswa Sengupta
2022 arXiv   pre-print
We utilised three multi-agent environments, namely predator/prey, traffic junction and level-based foraging and illustrate that such a co-evolution enables us to learn much quicker (50%) than state-of-the-art  ...  Ablation studies further show that disabling the inferring belief module, communication module, and the hidden states reduces the model performance by 38%, 60% and 30%, respectively.  ...  Level-based Foraging Level-based Foraging (LBF) is a multi-agent environment focusing on the coordination of the agents involved (Papoudakis et al., 2021) .  ... 
arXiv:2203.07832v1 fatcat:y465ql6abrhvflvffnwcx6w2fi

Causal Inference

Judea Pearl
2010 Journal of machine learning research  
This paper reviews a theory of causal inference based on the Structural Causal Model (SCM) described in (Pearl, 2000a) .  ...  In particular, the paper establishes a methodology for inferring (from a combination of data and assumptions) the answers to three types of causal queries: (1) queries about the effect of potential interventions  ...  Acknowledgments Portions of this paper are based on my book Causality (Pearl, 2000 (Pearl, , 2nd edition forthcoming 2009a)).  ... 
dblp:journals/jmlr/Pearl10 fatcat:i2ajw5tjrrcb3art7xoocdm7pm

Simulation-Based Inference for Global Health Decisions [article]

Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip Torr, Atılım Güneş Baydin
2020 arXiv   pre-print
Work in this setting involves solving challenging inference and control problems in individual-based models of ever increasing complexity.  ...  Here we discuss recent breakthroughs in machine learning, specifically in simulation-based inference, and explore its potential as a novel venue for model calibration to support the design and evaluation  ...  model or multi-agent system. demic), and derive detailed posterior distributions over all interactions defined by the simulator [56] , providing insights on interventions effecting a desired outcome-with  ... 
arXiv:2005.07062v1 fatcat:mrfht42puvb4tc2uq35itltjjm

Spin glass systems as collective active inference [article]

Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher Buckley
2022 arXiv   pre-print
An open question in the study of emergent behaviour in multi-agent Bayesian systems is the relationship, if any, between individual and collective inference.  ...  A collective of specifically-designed active inference agents can thus be described as implementing a form of sampling-based inference (namely, from a Boltzmann machine) at the higher level.  ...  Acknowledgements The authors thank Alex Kiefer, Beren Millidge, Dalton Sakthivadivel, Magnus Koudahl, Dimitrije Markovic and Maxwell Ramstead for their feedback and comments throughout the writing of the  ... 
arXiv:2207.06970v1 fatcat:nwtrac2mrrgatcowmelzptg7iu

World model learning and inference

Karl Friston, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, Hiroaki Gomi, Josh Tenenbaum
2021 Neural Networks  
of the world-model learning and inference.  ...  The distinctive features of human intelligence are high-level cognition and control in various interactions with the world including the self, which are not defined in advance and are vary over time.  ...  Acknowledgements This article was composed based on the talks and discussions at the International Symposium on Artificial Intelligence and Brain Science 2020 held online, supported by KAKENHI Project  ... 
doi:10.1016/j.neunet.2021.09.011 pmid:34634605 fatcat:ovruawnvivgybmd6keltwmdisy

Inferring Interpersonal Relations in Narrative Summaries [article]

Shashank Srivastava, Snigdha Chaturvedi, Tom Mitchell
2015 arXiv   pre-print
We formulate the problem as a joint structured prediction for each narrative, and present a model that combines evidence from linguistic and semantic features, as well as features based on the structure  ...  In this work, we address the problem of inferring the polarity of relationships between people in narrative summaries.  ...  polarities of interactions between characters (from text-spans between coreferent mentions) based on lexical and phrasal-level polarity clues. • Semantic connotations of actions one agent does to the  ... 
arXiv:1512.00112v1 fatcat:n54s2x4akngybk2muc3hyr6qbi

Epistemic Communities under Active Inference

Mahault Albarracin, Daphne Demekas, Maxwell J. D. Ramstead, Conor Heins
2022 Entropy  
We build a model based on active inference, where agents tend to sample information in order to justify their own view of reality, which eventually leads to them to have a high degree of certainty about  ...  In this paper, we leverage the active inference framework to provide an in silico model of confirmation bias and its effect on echo-chamber formation.  ...  Hypotheses In this paper, we present a multi-agent model of opinion dynamics based on the active inference formulation.  ... 
doi:10.3390/e24040476 pmid:35455140 pmcid:PMC9027706 fatcat:bwreikyh5reaxnyoqmojebmbbe

WorldTree V2: A Corpus of Science-Domain Structured Explanations and Inference Patterns supporting Multi-Hop Inference

Zhengnan Xie, Sebastian Thiem, Jaycie Martin, Elizabeth Wainwright, Steven Marmorstein, Peter A. Jansen
2020 International Conference on Language Resources and Evaluation  
Together, these resources provide training data and instrumentation for developing many-fact multi-hop inference models for question answering.  ...  We use this explanation corpus to author a set of 344 high-level science domain inference patterns similar to semantic frames supporting multi-hop inference.  ...  The WorldTree V2 knowledge base can be used both as structured text and as free text, allowing inference models requiring either type of knowledge to be directly compared.  ... 
dblp:conf/lrec/XieTMWMJ20 fatcat:scrgqys7w5giddnedh75qiuhnq
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